Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 176
Book Description
Air Force Journal of Logistics
Author: Scientific and Technical Aerospace Reports
Author: Air University Abstracts of Research Reports
Author: Publisher:
ISBN:
Category : Aeronautics, Military
Languages : en
Pages : 932
Book Description
NASA SP.
Author: Aeronautical Engineering
Author: Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 462
Book Description
A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International aerospace abstracts (IAA).
Aeronautical Engineering: A Cumulative Index to a Continuing Bibliography
Author: Government Reports Annual Index
Author: Publisher:
ISBN:
Category : Government reports announcements & index
Languages : en
Pages : 1326
Book Description
Government Reports Annual Index: Keyword A-L
Author: Publisher:
ISBN:
Category : Government reports announcements & index
Languages : en
Pages : 1336
Book Description
Government Reports Announcements & Index
Author: Bayesian Analysis of Stochastic Process Models
Author: David InsuaPublisher: John Wiley & Sons
ISBN: 1118304039
Category : Mathematics
Languages : en
Pages : 315
Book Description
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment. Provides a thorough introduction for research students. Computational tools to deal with complex problems are illustrated along with real life case studies Looks at inference, prediction and decision making. Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.